Evidence map›Paper›PMID 35235799›Full record

ArticleCell reports2022

Cholesterol biosynthesis defines oligodendrocyte precursor heterogeneity between brain and spinal cord.

Luipa Khandker, Marisa A Jeffries, Yun-Juan Chang, Marie L Mather, Angelina V Evangelou, Jennifer N Bourne, Azadeh K Tafreshi, Isis M Ornelas, Ozlem Bozdagi-Gunal, Wendy B Macklin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
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  4. Deletion ofBiology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Luipa KhandkerDepartment of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA.
Marisa A JeffriesDepartment of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA.
Yun-Juan ChangOffice of Advance Research Computing, Rutgers University, Piscataway, NJ 08854, USA.
Marie L MatherDepartment of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA.
Angelina V EvangelouDepartment of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA.
Jennifer N BourneDepartment of Cell and Developmental Biology, University of Colorado School of Medicine, Aurora, CO 80045, USA.
Azadeh K TafreshiDepartment of Psychiatry, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA.
Isis M OrnelasDepartment of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA.
Ozlem Bozdagi-GunalDepartment of Psychiatry, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA.
Wendy B MacklinDepartment of Cell and Developmental Biology, University of Colorado School of Medicine, Aurora, CO 80045, USA.
Teresa L WoodDepartment of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA. Electronic address: terri.wood@rutgers.edu.
Rutgers, The State University of New Jersey · USUniversity of Colorado Denver · US

Funding

The role of mTOR signaling in oligodendrocyte differentiation and CNS myelinationR37NS082203 · NINDS · UNIVERSITY OF COLORADO DENVER · PI MACKLIN, WENDY B, WOOD, TERESA L · 2017 to 2023
$6.0M
The role of mTOR signaling in oligodendrocyte differentiation and CNS myelinationR01NS082203 · NINDS · UNIVERSITY OF COLORADO DENVER · PI MACKLIN, WENDY B, WOOD, TERESA L · 2012 to 2016
$3.3M
Illumina NextSeq500 DNA Sequencing SystemS10OD018206 · OD · RBHS-NEW JERSEY MEDICAL SCHOOL · PI TIAN, BIN · 2015 to 2015
$227k
mTOR Signaling in Oligodendrocyte Vulnerability to Demyelination and Efficiency of Remyelination in the BrainF31NS108521 · NINDS · RBHS-NEW JERSEY MEDICAL SCHOOL · PI JEFFRIES, MARISA · 2018 to 2019
$90k
NIH HHS S10 OD018206NINDS NIH HHS F31 NS108521NINDS NIH HHS R01 NS082203NINDS NIH HHS R37 NS082203
6 · The paper itself

Abstract

Brain and spinal cord oligodendroglia have distinct functional characteristics, and cell-autonomous loss of individual genes can result in different regional phenotypes. However, a molecular basis for these distinctions is unknown. Using single-cell analysis of oligodendroglia during developmental myelination, we demonstrate that brain and spinal cord precursors are transcriptionally distinct, defined predominantly by cholesterol biosynthesis. We further identify the mechanistic target of rapamycin (mTOR) as a major regulator promoting cholesterol biosynthesis in oligodendroglia. Oligodendroglia-specific loss of mTOR decreases cholesterol biosynthesis in both the brain and the spinal cord, but mTOR loss in spinal cord oligodendroglia has a greater impact on cholesterol biosynthesis, consistent with more pronounced deficits in developmental myelination. In the brain, mTOR loss results in a later adult myelin deficit, including oligodendrocyte death, spontaneous demyelination, and impaired axonal function, demonstrating that mTOR is required for myelin maintenance in the adult brain.

Indexed as

Oligodendrocyte Precursor CellsBrainCell DifferentiationCholesterolMyelin SheathOligodendrogliaSpinal CordTOR Serine-Threonine KinasesCholesterolTOR Serine-Threonine KinasescholesterolmTORmyelinmyelinationmyelin maintenanceoligodendrocyteoligodendrocyte heterogeneityoligodendrocyte precursorsingle-cell sequencing

Identifiers

PMID35235799
PMCPMC8988216
OpenAlexW4221076034

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.